Your browser doesn't support javascript.
loading
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review.
Moridian, Parisa; Ghassemi, Navid; Jafari, Mahboobeh; Salloum-Asfar, Salam; Sadeghi, Delaram; Khodatars, Marjane; Shoeibi, Afshin; Khosravi, Abbas; Ling, Sai Ho; Subasi, Abdulhamit; Alizadehsani, Roohallah; Gorriz, Juan M; Abdulla, Sara A; Acharya, U Rajendra.
Afiliação
  • Moridian P; Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Ghassemi N; Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Jafari M; Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.
  • Salloum-Asfar S; Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Sadeghi D; Department of Medical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
  • Khodatars M; Department of Medical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
  • Shoeibi A; Data Science and Computational Intelligence Institute, University of Granada, Granada, Spain.
  • Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, VIC, Australia.
  • Ling SH; Faculty of Engineering and IT, University of Technology Sydney (UTS), Ultimo, NSW, Australia.
  • Subasi A; Faculty of Medicine, Institute of Biomedicine, University of Turku, Turku, Finland.
  • Alizadehsani R; Department of Computer Science, College of Engineering, Effat University, Jeddah, Saudi Arabia.
  • Gorriz JM; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, VIC, Australia.
  • Abdulla SA; Data Science and Computational Intelligence Institute, University of Granada, Granada, Spain.
  • Acharya UR; Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Front Mol Neurosci ; 15: 999605, 2022.
Article em En | MEDLINE | ID: mdl-36267703
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article